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Gait Recognition and Analysis

Gait Recognition and Analysis is a research topic within Biomedical Engineering. Science Explorer counts 13k research works in it since 1958. 9.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on gait recognition for human identification, utilizing techniques such as silhouette analysis, deep learning, and inertial sensors. It explores cross-view recognition and the use of wearable devices for biometric authentication, with applications in forensic biometrics.

  • Gait Recognition
  • Human Identification
  • Biometric Authentication
  • Silhouette Analysis
  • Deep Learning
  • Inertial Sensors
  • View Transformation Model
  • Cross-View Recognition
  • Wearable Devices
  • Forensic Biometrics
Research works
13k
fractional, since 1958
In the world top 10%
1.3k
per year above
Top-10% rate
9.8%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+63%
the tick is no change
Largest producer
China
54% of the 10 largest, 2022-now
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